Research on Network Traffic Prediction based on Wavelet Transform and Combination model
for the multi-scale characteristic of network traffic, a prediction algorithm based on wavelet transform and Combination model is introduced in this paper. The complex correlation structure of the network history traffic is exploited with wavelet method .For the traffic series under different time scale, self-similarity is analyzed and different prediction model is selected for predicting. The result series is reconstructed with wavelet method. Simulation results show that the combination method can achieve higher prediction accuracy rather than single prediction model.
Network Traffic Wavelet Combination model
Yongtao Wei Jinkuan Wang Cuirong Wang Ling Cai
School of Information Science and Engineering Northeastern University Shenyang China Department of EE Northeastern University at Qinhuangdao Qinhuangdao China
国际会议
秦皇岛
英文
120-123
2010-11-05（万方平台首次上网日期，不代表论文的发表时间）